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Software Engineering Manager, AI Observability & Evals Platform (New York, NY)

$200k - $250k
Full-time

langchain

About Us

At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.

We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.

More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.

About the Team

The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.

About the role

We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.

What you'll do

  • Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability

  • Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence

  • Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform

  • Partner with product and design teams to define scope, sequence, and success criteria for key initiatives

  • Maintain a high bar for technical excellence while making sure the team moves with urgency and focus

  • Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript

  • Engage directly with customers to understand their needs and translate them into actionable product improvements

What you'll bring

  • Experience managing or tech-leading teams delivering complex full-stack products

  • Strong technical background in Go/Python and React/Typescript

  • Solid understanding of databases (Postgres, Redis and ClickHouse)

  • Proven ability to design high throughput data-intensive systems

  • Bias towards shipping quickly and learning from customers

  • Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers

  • Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms

  • Annual salary range: $200,000- $250,000

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Vacancy posted 2 days ago
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